Few-shot classification is a challenging problem as only very few traini...
Most of the few-shot learning methods learn to transfer knowledge from
d...
Short videos have many applications on fashion trends, hot spots, street...
Recently the vision transformer (ViT) architecture, where the backbone p...
Compared with global average pooling in existing deep convolutional neur...
Deep Convolutional Networks (ConvNets) are fundamental to, besides
large...
Deep Convolutional Networks (ConvNets) are fundamental to, besides
large...
Global covariance pooling in Convolutional neural neworks has achieved
i...
By stacking layers of convolution and nonlinearity, convolutional networ...